Job Title: Postdoctoral Research Associate
Agency: Texas A&M University Health Science Center
Department: Health Behavior
Proposed Minimum Salary: Commensurate
Job Location: College Station, Texas
Job Type: Staff
Job Description:
Our Commitment Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents & lived experiences. Embracing varying opinions and perspectives strengthens our core values which are: Respect, Excellence, Leadership, Loyalty, Integrity, and Selfless Service.
Who We Are As one of the fastest-growing academic health centers in the nation, Texas A&M Health encompasses five colleges and numerous centers and institutes working together to improve health through transformative education, innovative research and team-based health care delivery.
What We Want The Postdoctoral Research Associate will be instrumental in advancing the Research on Outcomes, Opportunities, Treatments and Success (ROOTS) by conducting research, providing critical quantitative and analytical support to research efforts, and securing external funding. The primary content area for this position will be clinical pediatric research.
Requirements
Salary: Will be commensurate based on the selected hire's education and experience.
Location: College Station, TX
Schedule: Full-Time; This position may require work beyond normal office hours and/or work on weekends.
Please Note: This position is grant funded; future employment may be contingent upon future funding.
Apply! Submitting a cover letter, resume/CV to assist us with the review process. You may upload these documents to the application under CV/Resume.
Required Education and Experience
Ph.D., Sc.D., or equivalent doctoral degree in Epidemiology, Biostatistics, Health Services Research, Public Health, Psychology, or a closely related quantitative field
Preferred Qualifications
Ph.D., Sc.D., or equivalent doctoral degree in Epidemiology, Biostatistics, Health Services Research, Public Health, Psychology, or a closely related quantitative field completed within three years
Demonstrated proficiency in Spanish (Speaking, Reading, and Writing)
Demonstrated expertise and a strong publication record utilizing advanced statistical modeling and missing data techniques, specifically multiple imputation.
Strong foundational knowledge of pediatric health and clinical research methodologies.
Proven track record as a self-starting thinker with the ability to conceive, plan, and drive projects to completion with minimal direct oversight.
Prior experience holding or submitting a pre-doctoral or postdoctoral fellowship (such as an NIH F32).
Demonstrated record of successful peer-reviewed publications, including first-author papers, in high impact journals.
Direct experience with grant writing, particularly K-series applications, or equivalent mechanisms.
Proficiency in statistical programming languages (e.g., R, Python, Stata, SAS).
Direct experience leading successful Institutional Review Board (IRB) submissions at a major academic institution.
Experience utilizing data visualization software (e.g., Tableau, Power BI, R Shiny) to design and implement interactive dashboards for effective reporting of research findings and project metrics.
Responsibilities
Research Development, Writing, and Editing
Independently lead the preparation and submission of Institutional Review Board (IRB) applications, amendments, and continuing reviews for new and ongoing studies.
Design, execute, and manage original research projects aligned with the ROOTS Labs mission, with a specific focus on pediatric health outcomes.
Prepare manuscripts for publication in high-impact peer-reviewed journals.
Assist the ROOTS Director as needed to successfully develop and disseminate high-quality research, and secure funding to support ongoing efforts.
Quantitative Analysis
Independently perform complex quantitative data analyses, ranging from exploratory to explanatory models.
Demonstrate advanced proficiency in specialized statistical techniques, such as multiple imputation (MI) for handling missing data, power analysis and power calculations.
Oversee the cleaning, merging, and management of large, complex clinical and administrative datasets.
Mentorship and Guidance
Provide high-level guidance, review, and support to graduate and undergraduate students within the ROOTS Lab on their research designs and quantitative analyses.
Assist in the development and delivery of training materials related to statistical software, methods, and research best practices.
Why Texas A&M University?
We are a prestigious university with strong traditions, Core Values, and a community of caring and collaboration. Amenities associated with a major university, such as sporting and cultural events, state-of-the-art recreation facilities, the Bush Library and Museum, and much more await you. Experience all that a big city has to offer but with a reasonable cost-of-living and no long commutes.
Benefits
Medical, prescription drug, dental, vision, life and AD&D, flexible spending accounts, and long-term disability insurance with Texas A&M contributing to employee health and basic life premiums
12-15 days of annual paid holidays
Up to eight hours of paid sick leave and at least eight hours of paid vacation each month
Automatic enrollment in the Teacher Retirement System of Texas
Health and Wellness: Free exercise programs and release time
Professional Development: All employees have access to free LinkedIn Learning training, webinars, and limited financial support to attend conferences, workshops, and more
Educational release time and tuition assistance for completing a degree while a Texas A&M employee
Living Well, a program at Texas A&M that has been built by employees, for employees
Instructions to Applicants:
Applications received by Texas A&M University must either have all job application data entered, or a resume attached. Failure to provide all job application data or a complete resume could result in an invalid submission and a rejected application. We encourage all applicants to upload a resume or use a LinkedIn profile to prepopulate the online application.
All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution's verification of credentials and/or other information required by the institution's procedures, including the completion of the criminal history check.
Equal Opportunity/Veterans/Disability Employer